A Two-dimensional DOA Estimation Method for very Low SNR

被引：0

作者：

Segba, D. Guy ^{[1
]}

Hakem, N. ^{[1
]}

机构：

[1] UQAT, Lab Rech Telebec Commun Souterraines, Val Dor, PQ, Canada

来源：

2018 USNC-URSI RADIO SCIENCE MEETING (JOINT WITH AP-S SYMPOSIUM) | 2018年

关键词：

2-D DOA estimation; SNR; steering vectors; MUSIC;

D O I：

暂无

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

In this paper, we propose a new method to mitigate the effect of low signal to noise ratio (SNR) on two-dimensional (2-D) Direction of arrival (DOA) estimation. This method consists to extend the antenna steering vectors before applying the MUltiple SIgnal Classification (MUSIC) algorithm for 2-D DOA estimation. The simulation results show a good location accuracy enhancement.

引用

页码：97 / 98

页数：2

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